Lead Data Scientist / AI/ML Engineer

Detailed Job Description

- Urgent Hiring: Lead Data Scientist / AI & ML Engineer (BFSI Domain) I am currently sourcing for a high-impact Lead Data Scientist / AI/ML Engineer to spearhead AI initiatives for one of India’s leading, Tier-1 Non-Banking Financial Companies (NBFC) & Wealth Management Giants. If you have a passion for building production-scale machine learning systems that power lending decisions for millions of users, this is your next big career milestone! - Location: Pune (Work from Office - 5 Days) ⏳ Experience: 10–12 Years - CTC: ₹42 - 70 LPA (75% Fixed + 25% Variable) - Notice Period: Max 30 Days (Immediate joiners preferred) - Key Skills Required: • Python, Spark, Kafka • Kubernetes, MLOps, CI/CD pipelines • Feature Stores & Model Registries • Credit Risk, Fraud Analytics, and Collections Analytics What You Will Do (Roles & Responsibilities): • Lead AI Product Pods across critical Credit Risk, Fraud, and Collections business units. • Build & Scale ML systems for end-to-end lending lifecycle decisioning and underwriting. • Own the full ML Lifecycle: Feature engineering, model training, deployment, tracking, and drift detection. • Architect MLOps Infrastructure: Design robust, distributed ML pipelines using Kafka and Kubernetes. • Ensure AI Governance: Stay ahead of BFSI regulatory compliance, model explainability, and safety protocols. • Mentor & Grow: Build and scale a high-performing team of AI engineers and data scientists. ✨ Ideal Candidate Profile: • 10+ years of applied AI/ML experience with a clear engineering leadership background. • Strong domain expertise in Fintech, Banking, or NBFC sectors. • Proven track record of moving machine learning prototypes into scalable production environments. • How to Apply: To fast-track your profile directly into our priority review queue, click apply and ensure you include your answers to these 4 Essential Screening Questions in your cover note or application text: 1. Total AI/ML Experience: How many years of applied Data Science, Machine Learning, or MLOps experience do you currently have? (Note: 10–12 years required) 2. Production Scale Architecture: Have you built and deployed end-to-end ML pipelines using PySpark, Kafka, and Kubernetes? (Yes/No) 3. Domain Check: Do you have direct experience building risk, fraud, or credit decisioning models within the Fintech, Banking, or NBFC sector? (Yes/No) 4. Notice Period & Location: Are you willing to work on-site 5 days a week in Pune, and what is your current notice period? (Note: Max 30 days) • Important: Applications missing answers to these screening questions cannot be processed. Pay: ₹4,200,000.00 - ₹7,000,000.00 per year Benefits: • Paid sick time • Paid time off • Provident Fund Work Location: In person